Human examination and artificial intelligence in cephalometric landmark detection-is AI ready to take over?

Journal: Dento maxillo facial radiology
PMID: 37427581

Abstract

OBJECTIVES: To compare the precision of two cephalometric landmark identification methods, namely a computer-assisted human examination software and an artificial intelligence program, based on South African data.

Authors

  • Suvarna Indermun
    Department of Craniofacial Biology, Pathology and Radiology, University of the Western Cape, Cape Town, South Africa.
  • Shoayeb Shaik
    Department of Oral and Maxillofacial Pathology, Oral Biology and Diagnostic Imaging, University of Pretoria, Pretoria, South Africa.
  • Clement Nyirenda
    Department of Computer Science, University of the Western Cape, Cape Town, South Africa.
  • Keith Johannes
    Department of Orthodontics, University of the Western Cape, Cape Town, South Africa.
  • Riaan Mulder
    Department of Prosthodontics, University of the Western Cape, Cape Town, South Africa.

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